The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.
Version: | 2.2.3 |
Depends: | R (≥ 3.2.3) |
Imports: | rgdal, Rcpp, raster, sf, sp, rworldmap, gstat, ggplot2, RColorBrewer, calibrate, grDevices, graphics, leaflet, magrittr, foreach, parallel, doParallel, methods, spatstat, stats, utils |
LinkingTo: | Rcpp |
Suggests: | testthat, pkgdown, dplyr, rgeos |
Published: | 2019-12-16 |
Author: | Sebastian Gatscha [aut, cre] |
Maintainer: | Sebastian Gatscha <sebastian_gatscha at gmx.at> |
BugReports: | https://github.com/YsoSirius/windfarmGA/issues |
License: | MIT + file LICENSE |
URL: | https://ysosirius.github.io/windfarmGA/index.html |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | windfarmGA results |
Reference manual: | windfarmGA.pdf |
Package source: | windfarmGA_2.2.3.tar.gz |
Windows binaries: | r-devel: windfarmGA_2.2.3.zip, r-release: windfarmGA_2.2.3.zip, r-oldrel: windfarmGA_2.2.3.zip |
macOS binaries: | r-release: windfarmGA_2.2.3.tgz, r-oldrel: windfarmGA_2.2.3.tgz |
Old sources: | windfarmGA archive |
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